open source

New Approach to Document Image Parsing: Efficient Recognition and Structuring with Multimodal Models | Open Source Daily No.760

Multimodal AI

New Approach to Document Image Parsing: Efficient Recognition and Structuring with Multimodal Models | Open Source Daily No.760

Dolphin: Multimodal Document Image Parsing Repo: bytedance/Dolphin Stars: 6.4k License: MIT Dolphin is a multimodal model for document image parsing, using heterogeneous anchor prompts to enable an “analyze first, then parse” workflow. Key Features * Two-stage processing: * Layout Analysis: Page-level layout detection that produces an element sequence in natural

By Honghao Wang
Terminal-Based Intelligent Coding Assistant: Fully Open Source and Service-Independent | Open Source Daily No.759

open source

Terminal-Based Intelligent Coding Assistant: Fully Open Source and Service-Independent | Open Source Daily No.759

OpenCode — Terminal-Based AI Coding Agent Repository: sst/opencode Stars: 25.0k License: MIT OpenCode is a fully open-source terminal AI coding agent built for speed, flexibility, and collaboration. Key Features * Multiple backend support: Anthropic, OpenAI, Google, and local models. * Terminal User Interface (TUI) focus: Created by Neovim users and terminal.

By Honghao Wang
In-Depth | Revenue Quadrupled in 8 Months – n8n Founder: AI Is Either a Huge Opportunity or the End of a Company

AI automation

In-Depth | Revenue Quadrupled in 8 Months – n8n Founder: AI Is Either a Huge Opportunity or the End of a Company

# Building the Universal AI Automation Layer **Featuring n8n CEO Jan Oberhauser – Interview by Sequoia Capital** *2025-10-14, Beijing* --- > **"Everything we provide for free eventually benefits every user, and in the long run drives more usage and revenue growth — versus features designed solely for enterprise clients."** ![image](https:

By Honghao Wang
Efficient Distributed Inference Framework: Optimized for Generative AI Throughput and Latency | Open Source Daily No.757

distributed inference

Efficient Distributed Inference Framework: Optimized for Generative AI Throughput and Latency | Open Source Daily No.757

Dynamo – Distributed Inference Framework for Data Centers Repository: ai-dynamo/dynamo Stars: 5.1k License: Apache-2.0 Dynamo is an open-source distributed inference service framework designed for data center-scale generative AI and large inference models. It prioritizes high-throughput and low-latency operations while supporting multi-GPU and multi-server collaboration across diverse inference engines.

By Honghao Wang
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